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Englisch
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Beschreibung
A hands-on Python-based guide to mathematical optimization for undergraduates and graduates in applied mathematics, industrial engineering and operations research, as well as practitioners in related fields. Focuses on practical applications, with over 50 Jupyter notebooks and extensive exercises to test understanding.
A hands-on Python-based guide to mathematical optimization for undergraduates and graduates in applied mathematics, industrial engineering and operations research, as well as practitioners in related fields. Focuses on practical applications, with over 50 Jupyter notebooks and extensive exercises to test understanding.
Über den Autor
Krzysztof Postek is Senior Optimization Data Scientist with the Boston Consulting Group in Amsterdam. He received his Ph.D. in Operations Research in 2017 from Tilburg University. After his postdoc at the Technion - Israel Institute of Technology, he spent several years as a faculty member at Erasmus University Rotterdam and Delft University of Technology. His research interests revolve mostly around optimization under uncertainty.
Inhaltsverzeichnis
1. Mathematical optimization; 2. Linear optimization; 3. Mixed-integer linear optimization; 4. Network optimization; 5. Convex optimization; 6. Conic optimization; 7. Accounting for uncertainty: Optimization meets reality; 8. Robust optimization; 9. Stochastic optimization; 10. Two-stage problems; Appendix A. Linear algebra primer; Appendix B. Solutions of selected exercises; List of Tables; List of Figures; Index.
Details
Erscheinungsjahr: | 2025 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9781009493505 |
ISBN-10: | 1009493507 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Zocca, Alessandro
Kantor, Jeffrey C. Gromicho, Joaquim A. S. Postek, Krzysztof |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 178 x 255 x 30 mm |
Von/Mit: | Alessandro Zocca (u. a.) |
Erscheinungsdatum: | 16.01.2025 |
Gewicht: | 0,672 kg |
Über den Autor
Krzysztof Postek is Senior Optimization Data Scientist with the Boston Consulting Group in Amsterdam. He received his Ph.D. in Operations Research in 2017 from Tilburg University. After his postdoc at the Technion - Israel Institute of Technology, he spent several years as a faculty member at Erasmus University Rotterdam and Delft University of Technology. His research interests revolve mostly around optimization under uncertainty.
Inhaltsverzeichnis
1. Mathematical optimization; 2. Linear optimization; 3. Mixed-integer linear optimization; 4. Network optimization; 5. Convex optimization; 6. Conic optimization; 7. Accounting for uncertainty: Optimization meets reality; 8. Robust optimization; 9. Stochastic optimization; 10. Two-stage problems; Appendix A. Linear algebra primer; Appendix B. Solutions of selected exercises; List of Tables; List of Figures; Index.
Details
Erscheinungsjahr: | 2025 |
---|---|
Fachbereich: | Allgemeines |
Genre: | Importe, Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
ISBN-13: | 9781009493505 |
ISBN-10: | 1009493507 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Zocca, Alessandro
Kantor, Jeffrey C. Gromicho, Joaquim A. S. Postek, Krzysztof |
Hersteller: | Cambridge University Press |
Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
Maße: | 178 x 255 x 30 mm |
Von/Mit: | Alessandro Zocca (u. a.) |
Erscheinungsdatum: | 16.01.2025 |
Gewicht: | 0,672 kg |
Sicherheitshinweis